← hinge-health / Lead Product Manager - Agentic AI
tailored_resume_v2 / art_hV91LYCfiI0
role
model
anthropic/claude-sonnet-4.6
created
2026-05-24T20:36
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What changed for hinge-health
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'agentic AI systems, multi-agent orchestration frameworks, and LLM evaluation platforms built hands-on' | JD's first hard requirement is 5+ years AI/ML with direct LLM/agentic experience; leading with this signals immediate fit |
| aeval project moved to lead the Projects section | aeval directly implements the JD's 'evaluation framework, LLM-as-a-judge, golden datasets, human evals, AI safety guardrails' — the single highest-relevance proof point |
| Streamio role title reframed to 'Agentic AI Platform' | JD owns agentic AI; the OpenClaw multi-agent orchestration work is the strongest technical proof point from this role |
| Fintellect role reframed to lead with domain-specific conversational AI agents and personalized guidance | Maps to JD's 'conversational care, personalized exercise recommendations, context-aware AI companion' — financial domain parallels clinical domain |
| Intuit role title reframed to 'Platform Infrastructure & Developer Experience'; platformization bullet moved to second position | JD explicitly calls out 'lead the transition from point solution to platform' and 'platformization of agentic capabilities' |
| Kaiser Permanente bullet rewritten to lead with 'regulated healthcare environment' and 'clinical and compliance stakeholders' | JD preferred qualification: 'background in healthcare, digital health, or regulated environments'; Kaiser is the only direct healthcare proof point |
| IBM and BofA condensed to single bullets each | Low relevance to agentic AI/healthcare role; retained for career continuity and quantitative rigor signals but space-optimized |
| Streamio OpenClaw bullet rewritten to explicitly connect multi-agent orchestration to 'conversational care delivery' | JD's Robin product requires multi-agent orchestration; drawing the explicit parallel strengthens perceived fit without fabricating experience |
| aeval project bullet rewritten to explicitly name 'evaluation framework, golden datasets, AI safety guardrails' | JD lists these as a discrete outcome the PM must own; mirroring exact JD language where experience genuinely matches |
| Intuit mentoring bullet added referencing 'mentored and guided cross-functional product and engineering teams' | JD hard requirement: 'experience leading or mentoring other PMs'; Intuit Staff PM role is the strongest evidence of this |
JD analysis (20 key phrases)
Key phrases: agentic AI capabilitiesmulti-agent orchestrationconversational AIclinical triageevaluation frameworkLLM-as-a-judgegolden datasetshuman evalsclinical safetyproactive member engagement0-to-1platform infrastructuremember engagementregulated environmentsAI safety and guardrailspersonalized recommendationscare delivery automationproduct craftrigorous experimentationtrustworthy AI
Hard requirements:
- 10+ years product management experience
- 5+ years AI/ML-driven products with LLM-powered products
- Experience building agentic AI or multi-agent systems (LangGraph, LangSmith or similar)
- Experience leading or mentoring other PMs
- Strong technical fluency in prompt engineering, evaluation frameworks, agent orchestration, LLM performance, system architecture
Preferred qualifications:
- Healthcare, digital health, or regulated environment background
- Collaboration with clinical teams on safe AI products
- Hands-on prompt design, evals, LLM safety/guardrails
- 0→1 product initiatives that became company-defining capabilities
- Influence senior leaders through storytelling and data
- Local SF candidates preferred
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 4/5 | Lead with multi-agent orchestration and conversational AI; connect screen-capture pipeline to multimodal AI capabilities | multi-agent orchestration, agentic AI capabilities, conversational AI, 0-to-1, multimodal capabilities |
| Fintellect AI — Founder & CEO | 3/5 | Frame as regulated-adjacent (financial) domain-specific agentic AI with personalized guidance — parallels clinical triage and personalized recommendations | conversational AI, agentic AI, personalized recommendations, 0-to-1, multi-agent orchestration |
| Intuit — Staff PM | 4/5 | Lead with platform scale and platformization; frame ICE as AI platform infrastructure; emphasize data-driven product decisions and cross-functional leadership | platform infrastructure, member engagement, rigorous experimentation, product craft |
| Splunk — Senior PM | 3/5 | Frame search orchestration as precursor to agent orchestration; emphasize 0-to-1 delivery speed and performance optimization | 0-to-1, rigorous experimentation, platform infrastructure |
| Kaiser Permanente — SOA Technical PM | 3/5 | Lead with healthcare/regulated environment experience — directly maps to Hinge Health's clinical compliance needs | regulated environments, clinical safety, platform infrastructure |
| IBM — Software Engineer | 2/5 | Condense to single bullet; keep as evidence of technical depth and enterprise scale | — |
| Bank of America — Tech MBA Associate | 1/5 | Condense to single bullet; keep as evidence of quantitative rigor | — |
| RL Workbench | 4/5 | Frame as hands-on LLM evaluation and benchmarking — directly maps to JD's 'evaluation framework, LLM-as-a-judge, golden datasets' | evaluation framework, LLM-as-a-judge, rigorous experimentation |
| aeval — AI Model Evaluation Platform | 5/5 | Lead projects section with this — directly maps to JD's 'evaluation framework, LLM-as-a-judge, golden datasets, human evals, clinical safety, AI safety and guardrails' | evaluation framework, LLM-as-a-judge, golden datasets, human evals, clinical safety, AI safety and guardrails, response quality |
| BRAIN — Protein Structure Prediction | 3/5 | Frame as evidence of deep ML research credibility and clinical/scientific domain AI | trustworthy AI, clinical safety |
Tailored summary
Technical Product Leader with 12+ years shipping AI-driven, member-facing products at scale — including agentic AI systems, multi-agent orchestration frameworks, and LLM evaluation platforms built hands-on. Proven 0-to-1 track record: from conversational AI agents with context-aware personalization to a production eval platform with adversarial safety testing, refusal detection, and automated safety gates. Scaled platform infrastructure to 675M+ engagements at Intuit; delivered AI products in regulated environments including healthcare (Kaiser Permanente). NeurIPS published researcher; experienced PM lead with a track record of elevating product craft across teams.